fix - Evaluation Metrics排序功能不起作用

app.py

@@ -16,7 +16,7 @@ def main():
     demo = gr.TabbedInterface(
         [home, about],
         ["Home", "About"],
-        css="footer {display: none}"
+        css="footer {display: none} .sort-button.svelte-1bvc1p0.svelte-1bvc1p0.svelte-1bvc1p0 {display: none;}"
     )
     demo.launch()
 

app/ui/component/subtabs_component.py

@@ -17,25 +17,32 @@ class SubtabsComponent:
         model_provides = [] if model_provides is None else model_provides
         evaluation_metrics = "NDCG@10" if evaluation_metrics is None else evaluation_metrics
 
-        df_result = self.data_engine.filter_by_providers(df_result, model_provides).sort_values(
-            by=evaluation_metrics.replace("@", '_at_').lower())
+        df_result = self.data_engine.filter_by_providers(df_result, model_provides)
+
+        sort_col = evaluation_metrics.replace("@", '_at_').lower()
+        
+        df_result = df_result.sort_values(by=sort_col, ascending=False)
 
         items = []
         for leaderboard in leaderboards:
-
             with gr.Column(visible=leaderboard["name"] == navigations) as column:
                 with gr.Tabs():
                     with gr.TabItem("overall"):
                         df_leaderboard = df_result[df_result["leaderboard"] == leaderboard["slug"]]
+                        gr_df = gr.Dataframe(
+                            df_leaderboard,
+                            interactive=False
+                        )
 
-                        gr_df = gr.Dataframe(df_leaderboard)
                         items.append(gr_df)
 
                     for task in leaderboard["tasks"]:
                         with gr.TabItem(task):
                             df = df_leaderboard[df_leaderboard["task"] == task]
-
-                            gr_df = gr.Dataframe(df)
+                            gr_df = gr.Dataframe(
+                                df,
+                                interactive=False
+                            )
                             items.append(gr_df)
             items.append(column)
         return items